class_docstr: Helper class for constructing ML Engine link.
class_docstr_tok: ["Helper","class","for","constructing","ML","Engine","link","."]
code: def persist(
      context: Context,
      task_instance,
      job_id: str,
      project_id: str,
  ):
      task_instance.xcom_push(
          context,
          key=MLEngineJobDetailsLink.key,
          value={"job_id": job_id, "project_id": project_id},
      )
  
file_path: airflow/airflow/providers/google/cloud/links/mlengine.py
imports: from __future__ import annotations
  from typing import TYPE_CHECKING
  from airflow.providers.google.cloud.links.base import BaseGoogleLink
label_desc: Use image node_id 1 for calling the MLEngineJobDetailsLink obj's underlying member method code with example usage: obj.persist(context, task_instance, job_id, project_id) without return types